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MATLAB for Machine Learning

You're reading from   MATLAB for Machine Learning Practical examples of regression, clustering and neural networks

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781788398435
Length 382 pages
Edition 1st Edition
Languages
Tools
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Authors (2):
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Pavan Kumar Kolluru Pavan Kumar Kolluru
Author Profile Icon Pavan Kumar Kolluru
Pavan Kumar Kolluru
Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Toc

Table of Contents (10) Chapters Close

Preface 1. Getting Started with MATLAB Machine Learning FREE CHAPTER 2. Importing and Organizing Data in MATLAB 3. From Data to Knowledge Discovery 4. Finding Relationships between Variables - Regression Techniques 5. Pattern Recognition through Classification Algorithms 6. Identifying Groups of Data Using Clustering Methods 7. Simulation of Human Thinking - Artificial Neural Networks 8. Improving the Performance of the Machine Learning Model - Dimensionality Reduction 9. Machine Learning in Practice

A neural network getting started GUI

A GUI is an interface that allows users to interact with computers through graphical icons and visual indicators instead of text-based interfaces. GUIs were introduced to make interactive operations more convenient in comparison to the more challenging procedures required by command-line interfaces, which require commands to be typed on a computer keyboard. The actions in a GUI are usually performed through direct manipulation of the graphical elements.

To make the application of neural networks as simple as possible, the toolbox gives us a series of GUIs. Seeing is believing. The main one is the nnstart() function, which opens a window with launch buttons for neural network fitting, pattern recognition, clustering, and time series tools:

>> nnstart

This command opens the Neural Network Start GUI, as shown in the following figure:

Figure...
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